Daniela Pfeiffer
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Explore the profile of Daniela Pfeiffer including associated specialties, affiliations and a list of published articles.
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107
Citations
726
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Recent Articles
1.
Gassert F, Bast H, Urban T, Frank M, Gassert F, Willer K, et al.
Front Radiol
. 2025 Jan;
4:1487895.
PMID: 39877725
Background: Dark-field chest radiography allows the assessment of the structural integrity of the alveoli by exploiting the wave properties of x-rays. Purpose: To compare the qualitative and quantitative features of...
2.
Schick R, Bast H, Frank M, Urban T, Koehler T, Gassert F, et al.
PLoS One
. 2024 Dec;
19(12):e0316104.
PMID: 39729472
Background: Dark-field radiography has been proven to be a promising tool for the assessment of various lung diseases. Purpose: To evaluate the potential of dose reduction in dark-field chest radiography...
3.
Dorosti T, Schultheiss M, Hofmann F, Thalhammer J, Kirchner L, Urban T, et al.
Comput Biol Med
. 2024 Dec;
185():109533.
PMID: 39705795
We aim to optimize the binary detection of Chronic Obstructive Pulmonary Disease (COPD) based on emphysema presence in the lung with convolutional neural networks (CNN) by exploring manually adjusted versus...
4.
Rischewski J, Gassert F, Urban T, Hammel J, Kufner A, Braun C, et al.
Eur Radiol Exp
. 2024 Nov;
8(1):125.
PMID: 39495387
Background: Dark-field radiography imaging exploits the wave character of x-rays to measure small-angle scattering on material interfaces, providing structural information with low radiation exposure. We explored the potential of dark-field...
5.
Schaff F, Jud C, Dierolf M, Gunther B, Achterhold K, Gleich B, et al.
Radiology
. 2024 May;
311(2):e231921.
PMID: 38805732
Background Many clinically relevant fractures are occult on conventional radiographs and therefore challenging to diagnose reliably. X-ray dark-field radiography is a developing method that uses x-ray scattering as an additional...
6.
Gersing A, Kimm M, Bollwein C, Ilg P, Mogler C, Gassert F, et al.
Eur Radiol Exp
. 2024 May;
8(1):58.
PMID: 38735899
Background: Chondrosarcomas are rare malignant bone tumors diagnosed by analyzing radiological images and histology of tissue biopsies and evaluating features such as matrix calcification, cortical destruction, trabecular penetration, and tumor...
7.
Thalhammer J, Schultheiss M, Dorosti T, Lasser T, Pfeiffer F, Pfeiffer D, et al.
Radiol Artif Intell
. 2024 May;
6(4):e230275.
PMID: 38717293
Purpose To explore the potential benefits of deep learning-based artifact reduction in sparse-view cranial CT scans and its impact on automated hemorrhage detection. Materials and Methods In this retrospective study,...
8.
Ries A, Dorosti T, Thalhammer J, Sasse D, Sauter A, Meurer F, et al.
Eur Radiol Exp
. 2024 May;
8(1):54.
PMID: 38698099
Background: We aimed to improve the image quality (IQ) of sparse-view computed tomography (CT) images using a U-Net for lung metastasis detection and determine the best tradeoff between number of...
9.
Melcher J, Dierolf M, Gunther B, Achterhold K, Pfeiffer D, Pfeiffer F
Z Med Phys
. 2024 Apr;
PMID: 38631968
X-ray diffraction (XRD) is an important material analysis technique with a widespread use of laboratory systems. These systems typically operate at low X-ray energies (from 5 keV to 22 keV)...
10.
Gassenhuber M, Lochschmidt M, Hammel J, Boeckh-Behrens T, Ikenberg B, Wunderlich S, et al.
Eur Radiol Exp
. 2024 Apr;
8(1):52.
PMID: 38575701
Background: Nowadays, there is no method to quantitatively characterize the material composition of acute ischemic stroke thrombi prior to intervention, but dual-energy CT (DE-CT) offers imaging-based multimaterial decomposition. We retrospectively...